ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2212.09573
  4. Cited By
Privacy Adhering Machine Un-learning in NLP

Privacy Adhering Machine Un-learning in NLP

19 December 2022
Vinayshekhar Bannihatti Kumar
Rashmi Gangadharaiah
Dan Roth
    AILaw
    MU
ArXivPDFHTML

Papers citing "Privacy Adhering Machine Un-learning in NLP"

14 / 14 papers shown
Title
Layered Unlearning for Adversarial Relearning
Layered Unlearning for Adversarial Relearning
Timothy Qian
Vinith Suriyakumar
Ashia Wilson
Dylan Hadfield-Menell
MU
28
0
0
14 May 2025
Unified Parameter-Efficient Unlearning for LLMs
Chenlu Ding
Jiancan Wu
Yancheng Yuan
Jinda Lu
Kai Zhang
Alex Su
Xiang Wang
Xiangnan He
MU
KELM
100
6
0
30 Nov 2024
RESTOR: Knowledge Recovery through Machine Unlearning
RESTOR: Knowledge Recovery through Machine Unlearning
Keivan Rezaei
Khyathi Raghavi Chandu
S. Feizi
Yejin Choi
Faeze Brahman
Abhilasha Ravichander
KELM
CLL
MU
58
0
0
31 Oct 2024
Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning
Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning
Chongyu Fan
Jiancheng Liu
Licong Lin
Jinghan Jia
Ruiqi Zhang
Song Mei
Sijia Liu
MU
43
17
0
09 Oct 2024
Strong Copyright Protection for Language Models via Adaptive Model
  Fusion
Strong Copyright Protection for Language Models via Adaptive Model Fusion
Javier Abad
Konstantin Donhauser
Francesco Pinto
Fanny Yang
45
4
0
29 Jul 2024
Learn while Unlearn: An Iterative Unlearning Framework for Generative Language Models
Learn while Unlearn: An Iterative Unlearning Framework for Generative Language Models
Haoyu Tang
Ye Liu
Xukai Liu
Xukai Liu
Yanghai Zhang
Kai Zhang
Xiaofang Zhou
Enhong Chen
MU
75
3
0
25 Jul 2024
Towards Scalable Exact Machine Unlearning Using Parameter-Efficient Fine-Tuning
Towards Scalable Exact Machine Unlearning Using Parameter-Efficient Fine-Tuning
Somnath Basu Roy Chowdhury
Krzysztof Choromanski
Arijit Sehanobish
Avinava Dubey
Snigdha Chaturvedi
MU
61
7
0
24 Jun 2024
Unlearn What You Want to Forget: Efficient Unlearning for LLMs
Unlearn What You Want to Forget: Efficient Unlearning for LLMs
Jiaao Chen
Diyi Yang
MU
30
136
0
31 Oct 2023
AI Model Disgorgement: Methods and Choices
AI Model Disgorgement: Methods and Choices
Alessandro Achille
Michael Kearns
Carson Klingenberg
Stefano Soatto
MU
31
11
0
07 Apr 2023
Knowledge Unlearning for Mitigating Privacy Risks in Language Models
Knowledge Unlearning for Mitigating Privacy Risks in Language Models
Joel Jang
Dongkeun Yoon
Sohee Yang
Sungmin Cha
Moontae Lee
Lajanugen Logeswaran
Minjoon Seo
KELM
PILM
MU
147
193
0
04 Oct 2022
A Survey of Machine Unlearning
A Survey of Machine Unlearning
Thanh Tam Nguyen
T. T. Huynh
Phi Le Nguyen
Alan Wee-Chung Liew
Hongzhi Yin
Quoc Viet Hung Nguyen
MU
79
222
0
06 Sep 2022
Differentially Private Fine-tuning of Language Models
Differentially Private Fine-tuning of Language Models
Da Yu
Saurabh Naik
A. Backurs
Sivakanth Gopi
Huseyin A. Inan
...
Y. Lee
Andre Manoel
Lukas Wutschitz
Sergey Yekhanin
Huishuai Zhang
134
347
0
13 Oct 2021
Machine Unlearning: Linear Filtration for Logit-based Classifiers
Machine Unlearning: Linear Filtration for Logit-based Classifiers
Thomas Baumhauer
Pascal Schöttle
Matthias Zeppelzauer
MU
109
130
0
07 Feb 2020
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
297
6,984
0
20 Apr 2018
1